Mekani Vestari
Dosesn STIE Bank BPD Jateng

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PENGARUH EARNINGS SURPRISE BENCHMARK TERHADAP PREDIKTABILITAS LABA DAN RETURN SAHAM Vestari, Mekani
PRESTASI Vol 9, No 01 (2012): Juni PRESTASI
Publisher : PRESTASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (11.745 KB)

Abstract

The aim of this research is to get an empirical evidence about the impact of earnings surprise benchmark on earnings predictability and stock return predictability. The population of this research is 163 manufacture firms which is listed in Indonesia Stock Exchange refer to Indonesian Capital Market Directory that require data for year 2005 until 2010. Based on purposive sampling method the sample in this research is for about 123 firms. Market response is the dependent variable that measured with stock return for period t. Market response is influenced by independent variables which includes earnings predictability, stock returns predictability, earnings yield, asset turnover, operating cash to net income ratio, dividend pay out ratio and the association moderated with earnings surprise benchmark. Earnings predictability is measured by earnings (earnings per share) change  for period t, t+1, and t+2. Return predictability is measured by stock return for period t+1, and t+2. Earnings surprise benchmark is a moderating variable which interacts with all independent variables. The dummy variable is one when the net income is in the range of mean to standard deviation as a proxy of high earnings quality and zero when the net income is out of the mean to standard deviation with assumption that management do windows dressing and taking a bath. Data analysis is using linear regression.The analysis result shows that earnings surprise benchmark does not have significant impact on stock return predictability but have significant impact on earnings predictability. It shows that investor give enough attention to earnings with high quality. Keyword : earnings surprise benchmark, earnings predictability, stock return predictability, earnings per share, stock return
PERBEDAAN RESPON PASAR TERHADAP LABA Vestari, Mekani
PRESTASI Vol 11, No 1 A (2013): PRESTASI
Publisher : PRESTASI

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Abstract

ABSTRACT The aim of this research is to get an empirical evidence about the difference association between investor response toward earnings predictability for profitable firms and unprofitable firms. The population of this research is 163 manufacture firms which is listed in Indonesia Stock Exchange refer to Indonesian Capital Market Directory that require data for years 2005 until 2010. Based on purposive sampling method the sample in this research is for about 123 firms. The analysis uses CKSS model that represents Future Earnings Response Coefficient (FERC). Than the sample divided into two groups, consists of profitable firms and unprofitable firms to test by chow tests. The result shows that for profitable firms are significantly different with unprofitable firms of association between investor response to earnings predictability.  Keyword : future earnings response coefficient, profitable firms, unprofitable firms, liquidation option
Analisis Rasio-Rasio Dan Ukuran Keuangan, Prediksi Financial Distress, Dan Reaksi Investor Vestari, Mekani; Farida, Dessy Noor
AKRUAL: JURNAL AKUNTANSI Vol 5, No 1: AKRUAL: Jurnal Akuntansi (Oktober 2013)
Publisher : Jurusan Akuntansi Fakultas Ekonomi UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jaj.v5n1.p26-44

Abstract

AbstractThe purpose of this paper is to investigate financial ratios and financial measurements that can predict financial distress. This study also examined investor reaction. To proved the effect for the long period this study not only examined the effect of independent variables per year to the prediction of financial distress, but also examined the average for five years.Using logistic regression the results showed that there are four financial ratios that can predict financial distress. Business risk and firm size is not proven to predict financial distress. Using Kruskall-Wallis test this study also proved that investors can predict financial distress.
Analisis Rasio-Rasio Dan Ukuran Keuangan, Prediksi Financial Distress, Dan Reaksi Investor Vestari, Mekani; Farida, Dessy Noor
AKRUAL: JURNAL AKUNTANSI Vol 5, No 1: AKRUAL: Jurnal Akuntansi (Oktober 2013)
Publisher : UNIVERSITAS NEGERI SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jaj.v5n1.p26-44

Abstract

AbstractThe purpose of this paper is to investigate financial ratios and financial measurements that can predict financial distress. This study also examined investor reaction. To proved the effect for the long period this study not only examined the effect of independent variables per year to the prediction of financial distress, but also examined the average for five years.Using logistic regression the results showed that there are four financial ratios that can predict financial distress. Business risk and firm size is not proven to predict financial distress. Using Kruskall-Wallis test this study also proved that investors can predict financial distress.
DETERMINANTS OF THE QUALITY OF OPERATING SEGMENT DISCLOSURE Hidayat, Arina Adilla; Vestari, Mekani
Jurnal Akademi Akuntansi Vol. 4 No. 1 (2021): Jurnal Akademi Akuntansi (JAA)
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jaa.v4i1.15534

Abstract

The Indonesian government encourages the manufacturing sector to diversify its business. The operating segments disclosures will be more important. Meanwhile, the provisions regarding this disclosure are still voluntary. There are several studies in Indonesia. However, the proxies used do not reflect the quality of the operating segment disclosures comprehensively. Therefore, this study aims to get empirical evidence on the determinants of the quality of operating segment disclosure by using Reporting Quality Index. The population was manufacturing companies listed on the IDX for 2015 - 2018. The data analysis technique uses multiple linear regression. The results show that firm size, leverage, degree of internationalization, and audit quality have a positive effect, while industry competition, profitability, and company growth have no effect on the quality of disclosure in the operating segment. This implies that external pressures have higher impact.